Paper Title
Investigation of Sift and Surf Feature Extraction in Palm Print Verification System
Abstract
Palm print based biometric plans are developing in insurance frameworks due to higher exactness. In this paper,
examination of highlight extraction in two modified methodologies for scale and revolution invariant intrigue include
extractor and descriptor for instance SIFT and SURF in palm print confirmation is done. Filter and SURF is for the most part
utilized in picture mosaic, design recognition, age recovery, and numerous different applications in PC vision. The SIFT
distinguished increasingly number of highlights indicates as thought about the SURF and SIFT takes additional time than
SURF for the coordinating two pictures. The SURF gave more noteworthy precision than the SIFT.
Keywords - Palm Print, SURF, SIFT, Feature, Biometric